Hi,
I have a UNIX-Solaris-Sparc-Studio 11 compilers question. Since it's not
exactly a programming question, I'm posting it here instead of to the
developers list.
Here's the relevant info:
1) I'm using SunOS 5.9 on a 32 bit machine without parallel processing. The
chip is Sparc.
2) I've
[EMAIL PROTECTED]
Research Associate (Statistician)
Modeling Data Analytics
ARPC
-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Monday, January 22, 2007 11:01 PM
To: Louisell, Paul
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Loess with more than 4 predictors
Analytics
ARPC
-Original Message-
From: Louisell, Paul
Sent: Tuesday, January 23, 2007 12:40 PM
To: 'Prof Brian Ripley'
Cc: r-help@stat.math.ethz.ch
Subject: RE: [R] Loess with more than 4 predictors / offsets
In response to your questions:
I asked about including the offset
Hello,
Does anyone know of an R version of loess that allows more than 4
predictors and/or allows the specification of offsets? For that matter,
does anyone know of _any_ version of loess that does either of the
things I mention?
Thanks,
Paul Louisell
650-833-6254
[EMAIL PROTECTED]
Research
This is a general question to people who've installed R on a UNIX
sparc-sun-solaris platform:
Have you had any issues related to maintaining R on this platform, e.g.,
installations that didn't work, instances of R crashing and possibly
requiring a new installation, etc?
I'm especially interested
Hi,
I'm wondering if anyone is aware of any R packages that do kernel
smoothing with at least 4 predictors. The dataset I'm working with now
has 4 predictors, and I can fit a loess smooth, but loess has the
disadvantage that it can produce fitted values outside the range of the
response-something
I'm using R version 2.0.1 on a Windows 2000 operating system. Here is some
actual code I executed:
test
[,1] [,2]
[1,] 1000 500
[2,] 500 250
eigen(test, symmetric=T)$values
[1] 1.25e+03 -3.153033e-15
eigen(test, symmetric=T)$values[2] = 0
[1] FALSE
eigen(test, symmetric=T,
Hi,
I'm using version 2.0.1 of R on a Windows 2000 platform. The legend function
has parameters _lty_ and _pch_ for drawing line types and point types in the
legend box, but I can't find any way of getting the patterns corresponding
to _type='b'_ in the _plot_ function. When you enter _type='b'_
Hi,
I'm using R version 1.8.0 on Windows NT. When fitting a glm with Poisson
random component and a log link, I frequently need to include an offset.
Typically I use xtabs or table to get the counts for the contingency table,
and then I use as.data.frame.table to create a data frame that I can
